10229987
8323
Heinrich Peters
9985
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8155009
l2_regularization
10.0
12677
learning_rate
0.01
12677
loss
"auto"
12677
max_bins
8
12677
max_depth
17
12677
max_iter
150
12677
max_leaf_nodes
64
12677
min_samples_leaf
16
12677
n_iter_no_change
null
12677
random_state
36619
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
12677
verbose
0
12677
memory
null
12736
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
12736
verbose
false
12736
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
openml-python
Sklearn_0.21.2.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21381420
description
https://api.openml.org/data/download/21381420/description.xml
-1
21381421
predictions
https://api.openml.org/data/download/21381421/predictions.arff
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0.8413645958057123 [0.793607,0.816059,0.833598,0.797791,0.81773,0.885119]
average_cost
0
f_measure
0.5344818867549268 [0.463288,0.256798,0.407782,0.336391,0.363089,0.744516]
kappa
0.38304769703455765
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0.3022755551064373
mean_absolute_error
0.19970387081056995
mean_prior_absolute_error
0.2507645736611627
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5426515314381388 [0.478474,0.482955,0.487896,0.453297,0.485255,0.633022]
predictive_accuracy
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prior_entropy
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relative_absolute_error
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0.8667861769124748
total_cost
0
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area_under_roc_curve
0.8444535938910925 [0.798594,0.80936,0.867076,0.820821,0.798884,0.881013]
area_under_roc_curve
0.8355200149212555 [0.769483,0.827582,0.821775,0.780425,0.808266,0.889185]
area_under_roc_curve
0.8543725382736927 [0.800782,0.825733,0.858014,0.828915,0.825396,0.894947]
area_under_roc_curve
0.8256576426292324 [0.750351,0.801356,0.809373,0.797713,0.862199,0.865217]
area_under_roc_curve
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area_under_roc_curve
0.8333065977834536 [0.814334,0.795973,0.818374,0.794135,0.806144,0.869111]
area_under_roc_curve
0.857839087007695 [0.785188,0.841429,0.874997,0.814451,0.863754,0.895793]
area_under_roc_curve
0.8354771432774235 [0.78646,0.848709,0.808706,0.782086,0.786812,0.886218]
area_under_roc_curve
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average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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f_measure
0.5531249951088303 [0.474419,0.338983,0.425197,0.383838,0.389381,0.746318]
f_measure
0.5202260900021209 [0.443396,0.171429,0.432,0.295455,0.342342,0.744337]
f_measure
0.5300729398623512 [0.451923,0.298507,0.450704,0.247191,0.347826,0.744409]
f_measure
0.5193902485581372 [0.433962,0.238806,0.366667,0.367347,0.36,0.730463]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
0.3093964009357225
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.2875641161016571
kb_relative_information_score
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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611 [109,48,75,61,62,256]
number_of_instances
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precision
0.5383973049234865 [0.51,0.357143,0.469388,0.391304,0.475,0.655647]
precision
0.5847949544681328 [0.481132,0.909091,0.519231,0.513514,0.44,0.640449]
precision
0.5242082356888507 [0.451923,0.285714,0.54,0.5,0.395833,0.633609]
precision
0.5445502718896202 [0.474747,0.555556,0.477612,0.407407,0.533333,0.628032]
precision
0.530176933985579 [0.446602,0.444444,0.488889,0.5,0.473684,0.615591]
precision
0.5817246162974002 [0.528302,0.666667,0.534483,0.428571,0.571429,0.641873]
precision
0.5365168036007152 [0.482456,0.4,0.44,0.432432,0.551724,0.635854]
precision
0.5523762824835515 [0.423077,0.421053,0.545455,0.487179,0.55,0.650704]
precision
0.521830998375945 [0.478723,0.611111,0.442308,0.411765,0.390244,0.604839]
precision
0.5448160035545817 [0.51087,0.411765,0.423729,0.475,0.586207,0.625668]
predictive_accuracy
0.5784313725490197
predictive_accuracy
0.5833333333333334
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
2.301686142471426
prior_entropy
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prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
recall
0.5784313725490197 [0.46789,0.104167,0.310811,0.290323,0.301587,0.929688]
recall
0.5833333333333334 [0.46789,0.208333,0.36,0.306452,0.349206,0.894118]
recall
0.5588235294117647 [0.435185,0.122449,0.36,0.209677,0.301587,0.901961]
recall
0.5702614379084967 [0.431193,0.204082,0.426667,0.177419,0.258065,0.913725]
recall
0.5571895424836601 [0.422018,0.163265,0.293333,0.290323,0.290323,0.898039]
recall
0.5947712418300654 [0.513761,0.204082,0.413333,0.290323,0.258065,0.913725]
recall
0.565359477124183 [0.504587,0.204082,0.293333,0.258065,0.258065,0.890196]
recall
0.5784313725490197 [0.40367,0.163265,0.4,0.311475,0.354839,0.902344]
recall
0.546644844517185 [0.412844,0.229167,0.306667,0.229508,0.258065,0.878906]
recall
0.5711947626841244 [0.431193,0.145833,0.337838,0.311475,0.269841,0.914062]
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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